Jupyter notebooks the easy way! (with GPU support)

1. Create a Paperspace GPU machine

You can choose any of our GPU types (GPU+/P5000/P6000). For this tutorial we are just going to pick the default Ubuntu 16.04 base template.

Not comfortable with the command line?

Try the Paperspace Machine-learning-in-a-box machine template which has Jupyter (and a lot of other software) already installed! Use promo code MLIIB2 for $5 towards your new machine!

important: you will need to add a public IP address to be able to access to Jupyter notebook that we are creating. Make sure to select that option. If you forgot, you can always add it later through the console

2. Install CUDA / Docker / nvidia-docker

Here's a really simple script. Once you have SSH'ed in to your new machine, just run the script by pasting in the following to your terminal: